Class 2: Introduction to Machine Learning for Lawyers - in this class we expand both our tactical and theoretical understanding of machine learning. From a tactical perspective, students are introduced to Github and RMarkdown. From a theoretical perspective, we contrast supervised and unsupervised learning using an applied legal example. We conclude by discussing the bias / variance tradeoff as well as the distinction between precision and recall.